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September 27, 2025Open Access

Object Tracking: A Comprehensive Survey From Classical Approaches to Large Vision-Language and Foundation Models

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This survey reviews object tracking methods across various models, highlighting trends in deep learning and multimodal approaches.

Object tracking plays a vital role in computer vision applications such as surveillance and autonomous driving.
The study categorizes tracking methodologies, detailing single object tracking, multi-object tracking, and long-term tracking.
It emphasizes recent advancements in deep learning and foundation models, including open-vocabulary tracking and multimodal fusion.
Challenges like occlusion and identity consistency in tracking systems call for innovative solutions in future research directions.

Raja et al. (2025) studied this question.

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